https://www.jmir.org/stats/feed
Purchases: 0 ]]> https://www.jmir.org/2013/10/e238 Fri, 25 Oct 2013 10:59:01 EDT https://www.jmir.org/2013/10/e238
Purchases: 0 ]]> https://www.jmir.org/2018/6/e220 Tue, 19 Jun 2018 09:30:02 EDT https://www.jmir.org/2018/6/e220 64 years) participants. Baby boomers were found to be similar to the younger age group, but significantly more likely than the older age group to be ready to use 5 technologies for health purposes (health information websites, email, automated call centers, medical video conferencing, and texting). Baby boomers were less ready than the younger age group to adopt podcasts, kiosks, smartphones, blogs, and wikis for health care purposes. However, baby boomers were more likely than older adults to use smartphones and podcasts for health care purposes. Specific adoption barriers vary according to the technology. Conclusions: Baby boomers have commonalities with and distinctions from both younger and older adults in their readiness to adopt specific consumer health technologies and the barriers they experience to adoption. Baby boomers’ nuances regarding readiness to adopt and the barriers associated with the various forms of consumer health technology should be taken into account by those interested in promoting consumer health technologies use among baby boomers when developing applications, choosing technologies, preparing users for use, and in promotional tactics.

Purchases: 0 ]]> https://www.jmir.org/2014/9/e200 Mon, 08 Sep 2014 11:37:10 EDT https://www.jmir.org/2014/9/e200
Purchases: 0 ]]> https://www.jmir.org/2017/3/e63 Mon, 06 Mar 2017 10:45:01 EST https://www.jmir.org/2017/3/e63
Purchases: 0 ]]> https://www.jmir.org/2018/11/e280 Wed, 14 Nov 2018 10:00:03 EST https://www.jmir.org/2018/11/e280
Purchases: 0 ]]> https://www.jmir.org/2006/3/e22 Fri, 29 Sep 2006 00:00:00 EDT https://www.jmir.org/2006/3/e22
Purchases: 0 ]]> https://www.jmir.org/2019/6/e13313 Mon, 03 Jun 2019 10:45:03 EDT https://www.jmir.org/2019/6/e13313 g meta-analysis approach and a random effects model for analysis. Results: The results of this review note that depression and anxiety are the most commonly targeted symptoms, and unlike other similar topics, most studies reviewed were linked to a proven treatment. The overall pooled effect from the meta-analysis showed small but significant effects (κ=12; N=1370; Hedges g=0.20; 95% CI 0.02-0.38) for interventions in reducing the symptoms of internalizing disorders. In total, 4 subgroup analyses examining specific symptoms and intervention styles found varied small significant and nonsignificant effects. Conclusions: Future research should focus on developing robust evaluative frameworks and examining interventions among more diverse populations and settings. More robust research is needed before smartphone-based interventions are scaled up and used at the population level to address youth internalizing disorders.

Purchases: 0 ]]> https://www.jmir.org/2021/1/e16490 Mon, 11 Jan 2021 09:00:04 EST https://www.jmir.org/2021/1/e16490 Background: Understanding the social mechanisms of the circadian rhythms of activity represents a major issue in better managing the mechanisms of age-related diseases occurring over time in the elderly population. The automated analysis of call detail records (CDRs) provided by modern phone technologies can help meet such an objective. At this stage, however, whether and how the circadian rhythms of telephone call activity can be automatically and properly modeled in the elderly population remains to be established. Objective: Our goal for this study is to address whether and how the circadian rhythms of social activity observed through telephone calls could be automatically modeled in older adults. Methods: We analyzed a 12-month data set of outgoing telephone CDRs of 26 adults older than 65 years of age. We designed a statistical learning modeling approach adapted for exploratory analysis. First, Gaussian mixture models (GMMs) were calculated to automatically model each participant’s circadian rhythm of telephone call activity. Second, k-means clustering was used for grouping participants into distinct groups depending on the characteristics of their personal GMMs. Results: The results showed the existence of specific structures of telephone call activity in the daily social activity of older adults. At the individual level, GMMs allowed the identification of personal habits, such as morningness-eveningness for making calls. At the population level, k-means clustering allowed the structuring of these individual habits into specific morningness or eveningness clusters. Conclusions: These findings support the potential of phone technologies and statistical learning approaches to automatically provide personalized and precise information on the social rhythms of telephone call activity of older individuals. Futures studies could integrate such digital insights with other sources of data to complete assessments of the circadian rhythms of activity in elderly populations.

Purchases: 0 ]]> https://www.jmir.org/2021/1/e22339 Fri, 08 Jan 2021 10:45:22 EST https://www.jmir.org/2021/1/e22339 Background: A diverse array of digital technologies are available to children and young people living in the Global North to monitor, manage, and promote their health and well-being. Objective: This article provides a narrative literature review of the growing number of social research studies published over the past decade that investigate the types of digital technologies used by children and young people in the Global North, in addition to investigating which of these technologies they find most useful or not useful. Key findings as well as major gaps and directions for future research are identified and discussed. Methods: A comprehensive search of relevant publications listed in Google Scholar was conducted, supported by following citation trails of these publications. The findings are listed under type of digital technology used for health: cross-media, internet, social media, apps and wearable devices, sexual health support and information, and mental health support and information. Results: Many young people in the Global North are active users of digital health technologies. However, it is notable that they still rely on older technologies, such as websites and search engines, to find information. Apps and platforms that may not have been specifically developed for young people as digital health resources often better suit their needs. Young people appreciate the ready availability of information online, the opportunities to learn more about their bodies and health states, and the opportunities to learn how to improve their health and physical fitness. They enjoy being able to connect with peers, and they find emotional support and relief from distress by using social media platforms, YouTube, and online forums. Young people can find the vast reams of information available to them difficult to navigate. They often look to trusted adults to help them make sense of the information they find online and to provide alternative sources of information and support. Face-to-face interactions with these trusted providers remain important to young people. Risks and harms that young people report from digital health use include becoming overly obsessed with their bodies’ shape and size when using self-tracking technologies and comparing their bodies with the social media influencers they follow. Conclusions: Further details on how young people are using social media platforms and YouTube as health support resources and for peer-to-peer sharing of information, including attention paid to the content of these resources and the role played by young social media influencers and microcelebrities, would contribute important insights to this body of literature. The role played by visual media, such as GIFs (Graphics Interchange Format) and memes, and social media platforms that have recently become very popular with young people (eg, Snapchat and TikTok) in health-related content creation and sharing requires more attention by social researchers seeking to better understand young people’s use of digital devices and software for health and fitness.

Purchases: 0 ]]> https://www.jmir.org/2021/1/e18286 Mon, 11 Jan 2021 09:30:03 EST https://www.jmir.org/2021/1/e18286